It is difficult for a single neural network model to meet the modeling requirements of stock prediction. To solve the problem, a prediction model which combines the neural network with the rough set attribute reduction method based on the genetic algorithm is proposed. The model improves the crossover and mutation operator of the adaptive genetic algorithm. Comparing with the traditional one, the rough set attribute reduction based on the adaptive genetic algorithm is more capable to obtain the minimum attr...
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